{"id":"https://openalex.org/W4417201594","doi":"https://doi.org/10.1109/tci.2025.3642236","title":"Self-Supervised Learning-Based Reconstruction of High-Resolution 4D Light Fields","display_name":"Self-Supervised Learning-Based Reconstruction of High-Resolution 4D Light Fields","publication_year":2025,"publication_date":"2025-12-10","ids":{"openalex":"https://openalex.org/W4417201594","doi":"https://doi.org/10.1109/tci.2025.3642236"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2025.3642236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2025.3642236","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018989901","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0002-3976-2817"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxin Lei","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017127299","display_name":"Daw\u2010An Wu","orcid":"https://orcid.org/0000-0003-4296-3369"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongze Wu","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114008082","display_name":"Chengcai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcai Xu","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081760917","display_name":"Hongcheng Gu","orcid":"https://orcid.org/0000-0002-4162-7331"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongcheng Gu","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002791829","display_name":"Guangquan Zhou","orcid":"https://orcid.org/0000-0002-6467-3592"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangquan Zhou","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054594266","display_name":"Ping Zhou","orcid":"https://orcid.org/0000-0002-0643-8527"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhou","raw_affiliation_strings":["School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science &amp; Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5018989901"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43187911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"114","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8657000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8657000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.039500001817941666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10381","display_name":"Ophthalmology and Visual Impairment Studies","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.7490000128746033},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4388999938964844},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43790000677108765},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4153999984264374},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41110000014305115},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3950999975204468},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.39430001378059387},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.38499999046325684},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3544999957084656}],"concepts":[{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.7490000128746033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6723999977111816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.671500027179718},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3544999957084656},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3391000032424927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.28839999437332153},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2867000102996826},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2025.3642236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2025.3642236","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1976598894","https://openalex.org/W1982471090","https://openalex.org/W2042687553","https://openalex.org/W2063366997","https://openalex.org/W2095614026","https://openalex.org/W2105198794","https://openalex.org/W2239879258","https://openalex.org/W2307624518","https://openalex.org/W2476548250","https://openalex.org/W2551350082","https://openalex.org/W2554753600","https://openalex.org/W2572840108","https://openalex.org/W2591697814","https://openalex.org/W2612113368","https://openalex.org/W2612645170","https://openalex.org/W2737331613","https://openalex.org/W2752782242","https://openalex.org/W2753246299","https://openalex.org/W2768508823","https://openalex.org/W2783178946","https://openalex.org/W2794426621","https://openalex.org/W2800554784","https://openalex.org/W2803603634","https://openalex.org/W2884462366","https://openalex.org/W2892310177","https://openalex.org/W2896098866","https://openalex.org/W2902258291","https://openalex.org/W2903622424","https://openalex.org/W2947690922","https://openalex.org/W2949362021","https://openalex.org/W2962785568","https://openalex.org/W2962903125","https://openalex.org/W2963725279","https://openalex.org/W2998715827","https://openalex.org/W3035271082","https://openalex.org/W3089028664","https://openalex.org/W3092856428","https://openalex.org/W3170666462","https://openalex.org/W3171236455","https://openalex.org/W3172725906","https://openalex.org/W3180712890","https://openalex.org/W3181492461","https://openalex.org/W4210787071","https://openalex.org/W4213117431","https://openalex.org/W4283069044","https://openalex.org/W4287218788","https://openalex.org/W4304084253","https://openalex.org/W4323644416","https://openalex.org/W4377235225","https://openalex.org/W4381415926","https://openalex.org/W4381785888","https://openalex.org/W4385805028","https://openalex.org/W4389943464","https://openalex.org/W4390790588","https://openalex.org/W4390872220","https://openalex.org/W4391019972","https://openalex.org/W4393372246","https://openalex.org/W4399728346","https://openalex.org/W4402727159"],"related_works":[],"abstract_inverted_index":{"Hand-held":[0],"light":[1],"field":[2],"(LF)":[3],"cameras":[4],"often":[5],"exhibit":[6],"low":[7],"spatial":[8,16,24,83,89,120,146,214],"resolution":[9,48,90,215],"due":[10],"to":[11,36,59,66,165,188],"the":[12,38,42,54,170,202],"inherent":[13],"trade-off":[14],"between":[15,41,129],"and":[17,116,134,177,198,223],"angular":[18],"dimensions.":[19],"Existing":[20],"supervised":[21],"learning-based":[22,79],"LF":[23,82,91,108,114,119,145,190,216],"super-resolution":[25],"(SR)":[26],"methods,":[27],"which":[28,57,85],"rely":[29],"on":[30,195],"pre-defined":[31,98,219],"image":[32,99,127,185],"degradation":[33,100,180],"models,":[34],"struggle":[35],"overcome":[37],"domain":[39],"gap":[40],"training":[43],"phase\u2014where":[44],"LFs":[45],"with":[46,149,156,182],"natural":[47],"are":[49],"used":[50],"as":[51],"ground":[52],"truth\u2014and":[53],"inference":[55],"phase,":[56],"aims":[58],"reconstruct":[60],"higher-resolution":[61],"LFs,":[62],"especially":[63],"when":[64],"applied":[65],"real-world":[67,112,199],"data.":[68],"To":[69],"address":[70],"this":[71,73],"challenge,":[72],"paper":[74],"introduces":[75],"a":[76,106,111,117,143,152,178],"novel":[77],"self-supervised":[78,103,118,139],"method":[80,104],"for":[81],"SR,":[84],"can":[86],"produce":[87],"higher":[88,213],"images":[92,133,164,217],"than":[93],"originally":[94],"captured":[95],"ones":[96,210],"without":[97,218],"models.":[101],"The":[102,123,138,221],"incorporates":[105],"hybrid":[107,113,150],"imaging":[109],"prototype,":[110],"dataset,":[115],"SR":[121,147],"framework.":[122],"prototype":[124],"makes":[125],"reference":[126,175],"pairs":[128],"low-resolution":[130],"central-view":[131,153],"sub-aperture":[132,163],"high-resolution":[135],"(HR)":[136],"images.":[137],"framework":[140],"consists":[141],"of":[142,205],"well-designed":[144],"network":[148,155,181],"input,":[151],"synthesis":[154],"an":[157,183],"HR-aware":[158],"loss":[159,187],"that":[160],"enables":[161],"side-view":[162],"learn":[166],"high-frequency":[167],"information":[168],"from":[169],"only":[171],"HR":[172],"central":[173],"view":[174],"image,":[176],"backward":[179],"epipolar-plane":[184],"gradient":[186],"preserve":[189],"parallax":[191],"structures.":[192],"Extensive":[193],"experiments":[194],"both":[196],"simulated":[197],"datasets":[200],"demonstrate":[201],"significant":[203],"superiority":[204],"our":[206],"approach":[207],"over":[208],"state-of-the-art":[209],"in":[211],"reconstructing":[212],"degradation.":[220],"code":[222],"dataset":[224],"will":[225],"be":[226],"publicly":[227],"available":[228],"at":[229],"<uri":[230],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/LeiJianxin/SSLB-HLFSSR</uri>.":[232]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-10T00:00:00"}